LEAP, a New York City based non-profit organization was founded in 1977 in an effort to improve public education and help students realize their full potential
Forward Deployed Engineer, Care Operations
Location
United States
Posted
6 days ago
Salary
$153K - $189K / year
Seniority
Senior
Job Description
Forward Deployed Engineer, Care Operations
LEAP
• Own the technical systems that move members from “New” to “Scheduled” and “Infused”, including the automations, integrations, and workflows that drive each transition. • Identify funnel drop-off points through data and direct observation; build the fixes, not just the recommendations. • Design and maintain the member activation pipeline, ensuring every new employer deal translates into a structured, repeatable onboarding flow. • Build tooling that surfaces the right information to the right person at the right time, reducing manual work and improving response rates. • Build and maintain integrations across all of our internal and external tooling as the stack evolves. • Write production-grade code and automation (Python, SQL, APIs, webhooks, low-code tools) that the Care Ops team depends on daily. • Leverage AI tooling, including LLMs, to build faster, automate intelligently, and solve problems that traditional scripting can’t. • Own data quality and system reliability; when something breaks or drifts, you catch it and fix it before it affects members. • Translate operational problems into technical solutions, and technical constraints into process design that the team can actually execute. • Document workflows, system architecture, and integration logic so the team isn’t dependent on tribal knowledge. • Work directly with Care Coordinators and clinical staff to understand where manual effort is highest and where automation will have the most impact. • Contribute to sprint planning and roadmap prioritization; you have a point of view on what to build next and why. • Build dashboards and reporting that give the Care Ops team real-time visibility into funnel performance, outreach quality, and activation rates. • Design and maintain computed metrics (e.g., time-to-schedule, outreach cadence health, case aging) that surface actionable signals rather than just raw data. • Partner with Member Growth and Client Success to ensure commercial and clinical metrics are aligned and trustworthy.
Job Requirements
- Technically autonomous, you build your own tools, write production code, and lean heavily on AI to move faster than a team three times your size.
- Fluent across the full technical stack this role requires: Python or equivalent scripting, SQL, REST APIs and webhooks, and low-code/no-code automation platforms.
- Operationally literate, you understand process design, can map a workflow, and know the difference between a tool that technically works and one that the team will use.
- Strong systems thinker: you build for scale from day one and leave things more structured than you found them.
- AI-native in how you work, you use LLMs as a force multiplier for building, debugging, and problem-solving, not as a novelty.
- Clear communicator: you can explain a technical decision to a non-technical teammate and an operational tradeoff to an engineer.
- High ownership orientation, you don’t wait to be told what to fix, and you don’t consider something done until it’s working in production.
- Prior experience in ops-heavy or process-engineering environments, you’ve lived inside a workflow before you automated it.
- Experience working in early-stage startups where the infrastructure you’re inheriting is uneven and the roadmap is yours to shape.
- Familiarity with healthcare operations, specialty pharmacy, or care coordination workflows.
- Experience with CRM platforms (HubSpot preferred) and patient-facing systems.
- Comfort with multi-agent AI architectures or Claude Code / LLM-assisted development workflows.
Benefits
- Offers Equity
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